Lima, Tiago Nunes
101  Ergebnisse:
Personensuche X
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1

Contributors:

, In: Novel Materials for Environmental Remediation Applications,
 
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2

About the Contributors:

, In: Endothelium and Cardiovascular Diseases,
 
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4

Design of exergames controlled by wearable devices for sens..:

, In: 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH),
 
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5

Training Ensembles of Quantum Binary Neural Networks:

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
 
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6

A Game-based Platform to Tackle a Public Health Problem:

, In: Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts,
de Lima, Tiago França Melo - p. 17-25 , 2018
 
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7

Could Data from Location-Based Social Networks Be Used to S..:

, In: Proceedings of the 26th International Conference on World Wide Web Companion,
 
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8

Private Revision in a Multi-Agent Setting:

, In: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems,
 
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9

A framework for modeling and simulating aedes aegypti and d..:

, In: Proceedings of the 2014 Winter Simulation Conference,
Lima, Tiago ; Carneiro, Tiago ; Silva, Leandro... - p. 1481-1492 , 2014
 
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10

Análise da relação entre acessibilidade web e usabilidade p..:

, In: Proceedings of the IX Symposium on Human Factors in Computing Systems,
 
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11

Study of a Statistical Risk-Analysis Tool for Evaluating In..:

, In: 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa),
 
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12

Analysis of the Effect of Deviated Modulating Signal Charac..:

, In: 2023 International Symposium on Electromagnetic Compatibility – EMC Europe,
 
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13

Stage-by-stage evaluation of a biomedical system regarding ..:

, In: 2023 International Symposium on Electromagnetic Compatibility – EMC Europe,
 
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15

Intelligent Systems for Dengue, Chikungunya, and Zika Tempo..:

, In: Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis,
 
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